0
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Super-resolution radial fluctuations (SRRF) algorithm with better real-time performance

, , &
Received 25 May 2024, Accepted 03 Jun 2024, Published online: 17 Jul 2024

References

  • Abbe E. Beiträge zur theorie des mikroskops und der mikroskopischen wahrnehmung. Archiv Für Mikroskopische Anatomie. 1873;9(1):413–468. doi: 10.1007/BF02956173
  • Dertinger T, Colyer R, Iyer G, et al. Fast, background-free, 3D super-resolution optical fluctuation imaging (SOFI). Proc Nati Acad Sci. 2009;106(52):22287–22292. doi: 10.1073/pnas.0907866106
  • Betzig E, Patterson GH, Sougrat R, et al. Imaging intracellular fluorescent proteins at nanometer resolution. Sciences. 2006;313(5793):1642–1645. doi: 10.1126/science.1127344
  • Gustafsson MG. Surpassing the lateral resolution limit by a factor of two using structured illumination microscopy. J Microsc. 2000;198(2):82–87. doi: 10.1046/j.1365-2818.2000.00710.x
  • Rust MJ, Bates M, Zhuang X. Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM). Nat Methods. 2006;3(10):793–796. doi: 10.1038/nmeth929
  • Dickson RM, Cubitt AB, Tsien RY, et al. On/off blinking and switching behaviour of single molecules of green fluorescent protein. Nat Commun. 1997;388(6640):355–358. doi: 10.1038/41048
  • Gómez DE, Van Embden J, Jasieniak J, et al. Blinking and surface chemistry of single CdSe nanocrystals. Small. 2006;2(2):204–208. doi: 10.1002/smll.v2:2
  • Gustafsson N, Culley S, Ashdown G, et al. Fast live-cell conventional fluorophore nanoscopy with imageJ through super-resolution radial fluctuations. Nat Commun. 2016;7:12471. Epub 2016/08/16. PubMed PMID: 27514992; PubMed Central PMCID: PMCPMC4990649. doi: 10.1038/ncomms12471
  • Yahiatene I, Hennig S, Muller M, et al. Entropy-based super-resolution imaging (ESI): from disorder to fine detail. Acs Photonics. 2015;2(8):1049–1056. doi: 10.1021/acsphotonics.5b00307
  • Agarwal K, Macháň R. Multiple signal classification algorithm for super-resolution fluorescence microscopy. Nat Commun. 2016;7(1):1–9. doi: 10.1038/ncomms13752
  • Torres-García E, Pinto-Cámara R, Linares A, et al. Extending resolution within a single imaging frame. Nat Commun. 2022;13(1):7452. doi: 10.1038/s41467-022-34693-9
  • Wang B, Yao L, Jing Y, et al. Multicomposite super–resolution microscopy: enhanced airyscan resolution with radial fluctuation and sample expansions. J Biophotonics. 2020;13(5):e2419. doi: 10.1002/jbio.v13.5
  • Culley S, Tosheva KL, Pereira PM, et al. SRRF: universal live-cell super-resolution microscopy. Int J Biochem Cell Biol. 2018;101:74–79. doi: 10.1016/j.biocel.2018.05.014
  • Stubb A, Laine RF, Miihkinen M, et al. Fluctuation-based super-resolution traction force microscopy. Nano Lett. 2020;20(4):2230–2245. Epub 2020/03/07. PubMed PMID: 32142297; PubMed Central PMCID: PMCPMC7146861. doi: 10.1021/acs.nanolett.9b04083
  • Han Y, Lu X, Zhang Z, et al. Ultra-fast, universal super-resolution radial fluctuations (SRRF) algorithm for live-cell super-resolution microscopy. Opt Express. 2019;27(26):38337–38348. doi: 10.1364/OE.27.038337
  • Chen J, Fang Q, Huang L, et al. Deep-learning accelerated super-resolution radial fluctuations (SRRF) enables real-time live cell imaging. Opt Lasers Eng. 2024;172:107840. doi: 10.1016/j.optlaseng.2023.107840
  • Cooper J, Browne M, Gribben H, et al. Real time multi-modal super-resolution microscopy through super-resolution radial fluctuations (SRRF-stream). Single Molecule Spectroscopy and Superresolution Imaging XII; 2019: SPIE.
  • Khaledyan D, Amirany A, Jafari K, et al. Low-cost implementation of bilinear and bicubic image interpolation for real-time image super-resolution. 2020 IEEE Global Humanitarian Technology Conference (GHTC); 2020: IEEE. For real-time image super-resolution. 2020 IEEE Global Humanitarian Technology Conference (GHTC); 2020: IEEE.
  • Biomedical Imaging Group. Benchmarking of single-molecule localization microscopy software (Lausanne: EPFL, 2015).
  • Culley S, Albrecht D, Jacobs C, et al. Quantitative mapping and minimization of super-resolution optical imaging artifacts. Nat Methods. 2018;15(4):263–266. doi: 10.1038/nmeth.4605

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.